User Modeling and User-Adapted Interaction

Papers
(The median citation count of User Modeling and User-Adapted Interaction is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Sandra Carberry, in memoriam139
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario92
Learner models: design, components, structure, and modelling65
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks59
Recommending on graphs: a comprehensive review from a data perspective36
Generalisable sensor-free frustration detection in online learning environments using machine learning36
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems30
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises29
Deep adversarial group recommendation with user feature space separation25
Informative representations for forgetting-robust knowledge tracing24
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study20
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review19
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends18
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial18
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation17
Preface on the special issue on group recommender systems17
User-centered personalized gamification: an umbrella review16
Preface to the special issue on personalization and adaptation in human–robot interactive communication16
Gaze-based predictive models of deep reading comprehension15
Generating predicate suggestions based on the space of plans: an example of planning with preferences15
Intra-list similarity and human diversity perceptions of recommendations: the details matter15
Enhancing user awareness on inferences obtained from fitness trackers data14
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners14
A novel heterogeneous hypergraph social network recommendation system13
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems13
Digitally nudging users to explore off-profile recommendations: here be dragons11
Non-binary evaluation of next-basket food recommendation11
A bias detection tree approach for detecting disparities in a recommendation model’s errors11
A context-aware recommender system-based framework for improving cultural experiences11
Fair performance-based user recommendation in eCoaching systems10
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission10
Safe, effective and explainable drug recommendation based on medical data integration10
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders10
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation10
An overview of consensus models for group decision-making and group recommender systems9
One size does not fit all: detecting attention in children with autism using machine learning9
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback9
Enhancing a student productivity model for adaptive problem-solving assistance8
Exploring the impact of explainable AI and cognitive capabilities on users’ decisions8
Generating explanations for knowledge-aware conversational recommendation systems8
Personalized recommendations for learning activities in online environments: a modular rule-based approach8
Improving selection diversity using hybrid graph-based news recommenders8
A Bayesian framework for learning proactive robot behaviour in assistive tasks7
Improving session-based recommendation with contrastive learning7
Efficient incorporation of new interactions in graph recommenders via folding-in7
Personalized home-care support for the elderly: a field experience with a social robot at home7
Modeling the phases of rule learning during problem solving with an interactive learning environment7
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation7
Examining the merits of feature-specific similarity functions in the news domain using human judgments6
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm6
Cognitive personalization for online microtask labor platforms: A systematic literature review6
An automated system recommending background music to listen to while working6
A contrastive self-supervised learning method for source-free EEG emotion recognition6
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation6
SNRBERT: session-based news recommender using BERT6
Fairness in recommender systems: research landscape and future directions6
Use of topical and temporal profiles and their hybridisation for content-based recommendation6
Socially enhanced graph network for early identification of at-risk students in virtual learning environments6
Using latent variable models to make gaming-the-system detection robust to context variations5
Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems5
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums5
Preface to the special issue on news personalization and analytics5
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis5
Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach5
Validating Motives of Autonomous Players (MAP) inventory: a bottom-up model of general motivational factors to videogame play5
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